Comparison of Three Ten Meter Land Cover Products in a Drought Region: A Case Study in Northwestern China

Junmei Kang, Xiaomei Yang, Zhihua Wang, Hongbin Cheng, Jun Wang, Hongtao Tang, Yan Li, Zongpan Bian and Zhuoli Bai
Additional contact information
Junmei Kang: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Xiaomei Yang: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Zhihua Wang: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Hongbin Cheng: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Jun Wang: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Hongtao Tang: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Yan Li: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Zongpan Bian: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China
Zhuoli Bai: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China

Land, 2022, vol. 11, issue 3, 1-20

Abstract: The ecological and natural conditions in drought regions are harsh. Water shortages and land desertification are prominent features of these regions. The land cover in these regions has a large impact on global climate change, as well as on ecological protection and construction. To make rational and sustainable use of land resources, it is crucial to quickly grasp the accuracy and spatial distribution differences of multi-source remote sensing land cover products in drought regions. Therefore, taking northwestern China as the study area, in this study, the accuracy and spatial pattern distribution differences of three high-resolution (10 m) land cover products, namely, the Finer Resolution Observation and Monitoring of Global Land Cover (FROM-GLC), European Space Agency (ESA), and Environmental Systems Research Institute (ESRI) products, were compared and analyzed via area composition similarity, spatial pattern consistency, and absolute accuracy assessment for three validation samples. The results show that the FROM-GLC product had the highest overall accuracy, ranging from 53.81% to 73.45%. The ESRI product had the lowest overall accuracy, ranging from 35.90% to 64.16%. The spatial consistencies of the three products were low, accounting for 46.26% of the total area, and they were mostly distributed in a single area (mainly bare land and forest). The low accuracy for grassland, bare land, shrubland, and other vegetation types was the primary reason for the large differences between the three products. Future research should focus on improving the mapping accuracy for these vegetation types. Accuracies for water and cropland of the three products were consistent, and, thus, the FROM-GLC, ESA, and ESRI products can be used as auxiliary data in research related to water resources and cropland resources in drought regions.

Keywords: land cover products; 10 m resolution; spatial consistency; accuracy evaluation; drought regions; northwestern China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/3/427/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/3/427/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:3:p:427-:d:771761

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().